IP Library Granted Patent US 11,804,127
Granted Patent B2
US 11,804,127 · App. 18/090,935 · Granted Oct 31, 2023

Auto-configuring of battery operated devices in a premises security system

Inventor: Mark Reimer (Denver, CO)
Assignee: The ADT Security Corporation
G08B29/181G06N20/00G08B13/04G08B13/19682G08B17/10G08B25/008
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Quick Facts
Patent No.
US 11,804,127
App. No.
18/090,935
Granted
Oct 31, 2023
Kind
B2
Abstract

A premises control unit in communication with at least one battery operated sensor of a premises security system is provided. The premises control unit includes processing circuitry configured to configure at least one parameter for the at least one battery operated sensor where the configuration of the at least one parameter is based at least on data collected by the premises security system, and the at least one parameter includes at least sleep cycles for the at least one battery operated sensor.

Claims (49)

1. A premises control unit configured to be in communication with at least one battery operated sensor of a premises security system, the premises control unit comprising:

processing circuitry configured to:

determine at least one parameter based at least on timestamp data collected by the premises security system, the at least one parameter comprising at least sleep cycles for the at least one battery operated sensor; and

configure the at least one parameter for the at least one battery operated sensor.

2. The premises control unit of claim 1 , wherein the at least one parameter comprises a sensitivity of the at least one battery operated sensor.

3. The premises control unit of claim 2 , wherein the sensitivity of the at least one battery operated sensor is based at least on whether the at least one battery operated sensor is one of a lifestyle device or a life safety device.

4. The premises control unit of claim 3 , wherein the sensitivity is configured to:

a first sensitivity if the at least one battery operated sensor is a life style device; and

a second sensitivity if the at least one battery operated sensor is a life safety device, the first sensitivity being greater than the second sensitivity.

5. The premises control unit of claim 1 , wherein the timestamp data collected by the premises security system comprises at least one of:

a motion detection signal timestamp for each battery operated sensor;

a door sensor timestamp;

a window sensor timestamp;

a glass break timestamp;

an acoustic detector timestamp;

a smoke detector timestamp; and

a video camera motion detection timestamp.

6. The premises control unit of claim 1 , wherein the processing circuitry is further configured to analyze the timestamp data collected by the premises security system using a machine learning algorithm to determine the configuration of the at least one parameter for the at least one battery operated sensor.

7. The premises control unit of claim 1 , wherein the configuration of the at least one parameter for the at least one battery operated sensor is received from a server and is based at least on applying a machine learning algorithm to the timestamp data collected by the premises security system.

8. The premises control unit of claim 6 , wherein the machine learning algorithm uses at least a functionality requirement of the at least one battery operated sensor to determine the configuration of the at least one parameter for the at least one battery operated sensor.

9. The premises control unit of claim 1 , wherein the at least one battery operated sensor comprises at least one passive infrared (PIR) motion detector.

10. The premises control unit of claim 1 , wherein the at least one battery operated sensor comprises a contact sensor.

11. A method implemented by a premises control unit that is in communication with at least one battery operated sensor of a premises security system, the method comprising:

determining at least one parameter based at least on timestamp data collected by the premises security system, the at least one parameter comprising at least sleep cycles for the at least one battery operated sensor; and

configuring the at least one parameter for the at least one battery operated sensor.

12. The method of claim 11 , wherein the configured at least one parameter comprises a sensitivity of the at least one battery operated sensor.

13. The method of claim 12 , wherein the configured sensitivity of the at least one battery operated sensor is based at least on whether the at least one battery operated sensor is one of a life style device and life safety device.

14. The method of claim 13 , wherein the sensitivity is configured to:

a first sensitivity if the at least one battery operated sensor is a life style device; and

a second sensitivity if the at least one battery operated sensor is a life safety device, the first sensitivity being greater than the second sensitivity.

15. The method of claim 11 , wherein the timestamp data collected by the premises security system comprises at least one of:

a motion detection signal timestamp for each battery operated sensor;

a door sensor timestamp;

a window sensor timestamp;

a glass break timestamp;

an acoustic detector timestamp;

a smoke detector timestamp; and

a video camera motion detection timestamp.

16. The method of claim 11 , further comprising analyzing the timestamp data collected by the premises security system using a machine learning algorithm to determine the configuration of the at least one parameter for the at least one battery operated sensor.

17. The method of claim 11 , wherein the configuration of the at least one parameter for the at least one battery operated sensor is received from a server and is based at least on applying a machine learning algorithm to the timestamp data collected by the premises security system.

18. The method of claim 16 , wherein the machine learning algorithm uses at least a functionality requirement of the at least one battery operated sensor to determine the configuration of the at least one parameter for the at least one battery operated sensor.

19. The method of claim 11 , wherein the at least one battery operated sensor comprises at least one of a PIR motion detector or contact sensor.

20. A system comprising:

a passive infrared (PIR) motion detector, the PIR motion detector being battery operated; and

premises control unit comprising processing circuitry that is configured to:

implement a machine learning algorithm to analyze premises security system data to determine a first sleep duration cycle configuration and first sensitivity configuration for the PIR motion detector;

configure the PIR motion detector from a second sleep duration cycle configuration and second sensitivity configuration to the first sleep duration cycle configuration and first sensitivity configuration;

the first sleep duration cycle configuration configured to reduce battery consumption of the PIR motion detector compared to the second sleep duration cycle; and

the first sensitivity configuration having a lower sensitivity than the second sensitivity configuration.

Assignments (2)
SECURITY INTEREST Recorded Apr 28, 2023
From: THE ADT SECURITY CORPORATION
To: BARCLAYS BANK PLC, AS COLLATERAL AGENT
Reel/Frame 063489/0434 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 11, 2023
From: REIMER, MARK
To: THE ADT SECURITY CORPORATION
Reel/Frame 063286/0527 →
Continuity (3)
Continuation 17404711 · Aug 17, 2021
Provisional Application 63066619 · Aug 17, 2020
Related Publication 20230142128A1 · May 11, 2023
Cited By (1)
US 12,664,875